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Updated in [October 18th, 2023]

What does this course tell? (Please note that the following overview content is from the original platform) Begin by loading and shaping data in our first app using the Data Manager
Understand the concepts of associative models
Make sheets with charts tables and key performance indicators (KPIs)
Understand the four types of application tiers
Alternative states for comparison
The schema types are star and snowflake
How to create data models based on user needs
Load data from various data source types
Recognize Joins IntervalMatch Crosstable FirstSortedOrder and Rank
Incremental loads with flow control subroutines
Dimensions are gradually shifting
Validate the data using a variety of techniques
Create technical specifications and design the sheet layout
Using element (E) and position (P) functions within a set expression
The importance of canonical calendars and how to use them
Geo analytics with metrics that can be switched on and off
Measures Dimensions and Visualizations are examples of master items
For example security Data compression
Data storytelling and mashups
QlikView documents should be migrated to Qlik Sense
Simple to complex code set expressions including date range expressions
The D A R concept which is common in enterprise solutions is used in development
Investigate the features of the Qlik Sense visualisation bundle
To fully appreciate Qlik Sense understand the theory behind the scenes which is explained in vivid detail
In your load script include pre-aggregations and flags
Create data load scripts that are efficient
This course covers so much more than what is included in this list
Experiment with assignment exercises to hone your skills
To ensure your understanding take the quizzes We considered the value of this course from many aspects, and finally summarized it for you from two aspects: skills and knowledge, and the people who benefit from it: (Please note that our content is optimized through artificial intelligence tools and carefully reviewed by our editorial staff.) What skills and knowledge will you acquire during this course? During the Qlik Sense Certification - The Complete Practical Course, the learner will acquire the following skills and knowledge: 1. Loading and shaping data using the Data Manager in Qlik Sense. 2. Understanding the concepts of associative models. 3. Creating sheets with charts, tables, and key performance indicators (KPIs). 4. Understanding the four types of application tiers in Qlik Sense. 5. Utilizing alternative states for comparison purposes. 6. Understanding the schema types, namely star and snowflake. 7. Creating data models based on user needs. 8. Loading data from various data source types. 9. Recognizing and utilizing Joins, IntervalMatch, Crosstable, FirstSortedOrder, and Rank functions. 10. Implementing incremental loads with flow control subroutines. 11. Understanding the shifting dimensions concept. 12. Validating data using various techniques. 13. Creating technical specifications and designing sheet layouts. 14. Using element (E) and position (P) functions within a set expression. 15. Understanding the importance of canonical calendars and how to use them. 16. Utilizing geo analytics with switchable metrics. 17. Mastering the creation of measures, dimensions, and visualizations as master items. 18. Migrating QlikView documents to Qlik Sense. 19. Writing simple to complex code set expressions, including date range expressions. 20. Implementing the D A R concept commonly used in enterprise solutions. 21. Exploring the features of the Qlik Sense visualization bundle. 22. Understanding the theory behind the scenes in Qlik Sense. 23. Including pre-aggregations and flags in the load script. 24. Creating efficient data load scripts. 25. The course covers additional topics beyond the ones listed. 26. Practicing with assignment exercises to improve skills. 27. Taking quizzes to ensure understanding. Who will benefit from this course? This course is beneficial for individuals interested in or working in the field of data analysis and visualization. It is particularly useful for professionals who work with Qlik Sense, a popular data analytics and visualization tool. Specific professions that can benefit from this course include: 1. Data Analysts: This course provides a comprehensive understanding of loading and shaping data, creating data models, and using various techniques for data validation. It also covers advanced topics such as incremental loads and pre-aggregations, which are essential for efficient data analysis. 2. Business Intelligence Professionals: Qlik Sense is widely used in the business intelligence field. This course helps professionals in this domain to create visually appealing and interactive dashboards, charts, and key performance indicators (KPIs) using Qlik Sense. 3. Data Scientists: Understanding the concepts of associative models and using advanced functions like Joins, IntervalMatch, and Rank can greatly benefit data scientists in their data analysis and modeling tasks. Additionally, the course covers topics like data storytelling and mashups, which are important for effective communication of data insights. 4. IT Professionals: Professionals involved in the migration of QlikView documents to Qlik Sense will find this course valuable. It also covers topics like data compression, security, and the different application tiers, which are important considerations for IT professionals working with Qlik Sense. Overall, this course caters to individuals who want to enhance their skills in data analysis, visualization, and modeling using Qlik Sense.

Course Syllabus

QS Start-up  - Developer Setup

The Data Manager

Visualising data

----- QSDA - Qlik Sense Data Architect -----

QSDA  - Identify Requirements for Data Models (16% of the exam)

Design Data Models (28% of the exam)

Build Data Models (34% of the exam)

Validate Data (22% of the exam)

----- QSBA - Qlik Sense Business Analyst -----

QSBA  - Identify Requirements (23% of the exam)

Design Application (22% of the exam)

Prepare and Load Data (25% of the exam)

Develop Application (30% of the exam) - Dashboard

Analysis

Reporting

Merge Applications

Implement the Security Model

Mashup development

QlikView to QlikSense app converter

Narrate (Story telling)

Complex expressions